CSE143: Introduction to Natural Language Processing
Introduces the theory and practice of natural language processing (NLP)-- the creation of computer programs that can understand, generate, and learn natural language. Introduces the three major subfields of NLP: syntax (the structure of a sentence); semantics (the explicit meaning of a single sentence); and pragmatics (the implicit meaning of a sentence when it is used in a specific discourse). Projects focus on the techniques useful for a particular application area, alternating in different years. Project application areas include information extraction, narrative understanding, sentiment analysis, dialogue systems, and question answering. Prerequisite(s): CSE 101, and CSE 107 or STAT 131; and CSE 40. Python competence equivalent to CSE 30 is highly recommended.
5 credits
| Year | Fall | Winter | Spring | Summer |
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| 2024-25 |
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| 2023-24 |
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| 2022-23 |
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| 2021-22 |
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| 2020-21 |
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